2024-05-07 Nuevo Sol News
2024-05-06
Summary of Last Month
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Understanding the Overall Trend of the Exchange Rates
After analyzing the provided dataset, it is observed that the overall trend of the exchange rates showed a slight decline during this given period. Initially, the rates started at 0.36744 and ended at 0.36712. The highest point was 0.36748, whereas the lowest was 0.36543. There were fluctuations in between, but generally, the rates showed a slight downward trend.
2. Identifying Seasonality or Recurring Patterns
Identifying any seasonality or recurring pattern in time series data like this can often be a complex process involving rigorous statistical analysis. However, a general overlook at the given data does not seem to indicate any obvious seasonality or recurrent pattern in the exchange rates changes. We can conclude this by looking at the data's constant fluctuations and lack of apparent cycles within the timeframe. A more granular dataset, perhaps with bigger datasets or more feature-rich data, would be required to conclusively find any seasonality in such scenarios.
3. Outliers Identification
As for outliers in this dataset, a significant dip is noticed at the 13:00:03 timestamp, where the value fell to 0.36553 from the last recorded value of 0.36646 at 12:55:03. This significant change is much larger than the typical fluctuations observed in this dataset. Aside from this instance, there are no other apparent outliers or instances where the exchange rate differs significantly from the average trend.
4. Conclusion
The time-series dataset for PEN exchange rate shows a slight declining trend across the timeframe provided. No visible seasonality or recurrent pattern are seen from a high-level analysis. There exists an outlier where a significant drop in exchange rate was observed. For more detailed insights, though, a more granular dataset or analysis timed around significant market events could provide more contextual and refined results.